Energy expenditure, metabolic power and high speed activity during linear and multi-directional running. Issue 10 (October 2017)

• Record Type: Journal Article
• Authors: Oxendale, Chelsea L.; Highton, Jamie; Twist, Craig
• Is Part Of: Journal of science and medicine in sport. Volume 20:Issue 10(2017)
• Page Start: 957
• Page End: 961
• Publication Date: 2017-10
• Subjects: GPS -- Team sports -- Physical demands -- Internal load -- Acceleration; Sports sciences -- Periodicals; Sports medicine -- Periodicals; Exercise -- Physiological aspects -- Periodicals; Sports -- physiology -- Periodicals; Sports Medicine -- Periodicals; Sportgeneeskunde; 617.102705
• DOI: 10.1016/j.jsams.2017.03.013
• Languages: English
• ISSNs: 1440-2440

Abstract

Abstract: Objectives: The purpose of the study was to compare measures of energy expenditure derived from indirect calorimetry and micro-technology, as well as high power and high speed activity during linear and multi-directional running. Design: Repeated measures. Methods: Twelve university standard team sport players completed a linear and multi-directional running condition. Estimated energy expenditure, as well as time at high speed (>14.4 km h −1 ) and high power (>20 W kg −1 ) were quantified using a 10 Hz micro-technology device and compared with energy expenditure derived from indirect calorimetry. Results: Measured energy expenditure was higher during the multi-directional condition (9.0 ± 2.0 cf. 5.9 ± 1.4 kcal min −1 ), whereas estimated energy expenditure was higher during the linear condition (8.7 ± 2.1 cf . 6.5 ± 1.5 kcal min −1 ). Whilst measures of energy expenditure were strongly related ( r > 0.89, p < 0.001), metabolic power underestimated energy expenditure by 52% (95% LoA: 20–93%) and 34% (95% LoA: 12–59%) during the multi-directional and linear condition, respectively. Time at high power was 41% (95% LoA: 4–92%) greater than time at high speed during the multi-directional condition, whereas time at high power was 5% (95% LoA: −17–9%) lower than time at high speed during the linear condition. Conclusions: Estimated energy expenditure and time at high metabolic power can reflect changes in internal load. However, micro-technology cannot be used to determine the energy cost of intermittent running.